Drone Flight Performance Evaluation Methodology Based on Data Science
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Fecha
2022-04
Autores
Moreno-García, Adrián H.
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Editor
ITESO
Resumen
Descripción
Nowadays Unmanned Aerial Vehicle (UAV) consist of collaborators for hazardous jobs like deliveries,
from commerce to clients, and emergency scenarios, like fire fighting and rescue humanitarian jobs. The
pilot’s responsibility has increased as the new requirements settle for new applications, so in this way, they
need to have enough capabilities to perform this valuable work. However, this required knowledge, skills,
and attitudes not provided in a formal educational institute with an established process. Therefore, there is
no method defined to know the level of performance of a Pilot, and this is essential before giving a duty as
valuable of delivery.
This thesis presents an effort to establish a detailed structured methodology for evaluating a pilot’s ability to
coordinate psycho-motor and evaluate this determined pilot’s learning rate in a sequence of flights. Furthermore,
to generate a predictive model representing this learning for a specific pilot and give formal evidence
of the improvement in the near future and which orientation coordination ability can improve.
Palabras clave
Drones, Route Flights, UAVs, ANOVA, Flight Performance, Linear Regression
Citación
Moreno-García, A. H. (2022). Drone Flight Performance Evaluation Methodology Based on Data Science. Trabajo de obtención de grado, Maestría en Ciencia de Datos. Tlaquepaque, Jalisco: ITESO.